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Sam Learns Azure

Learning and sharing Azure architecture and DevOps tips with GitHub

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Category: DevOps

April 30, 2020 DevOps / Monitoring

High performing DevOps metrics

In the most excellent DevOps book, “Accelerate“, four metrics were identified as being most important in identifying high performing DevOps

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April 29, 2020 DevOps / Infrastructure / Monitoring

Availability Tests

Today we are going to setup availability testing in Application Insights. An availability test is a simple test that confirms

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April 23, 2020 DevOps / Infrastructure

Resolving resource group deployment quota limits

Last week we received an odd message when deploying a pipeline about hitting our “deployment quota of 800”. This pipeline

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April 20, 2020 DevOps / Monitoring

Increasing deployment frequency to improve pipeline resiliency

In the highly recommended DevOps book “Accelerate“, deployment frequency is recognized as one of the primary measurements of high performing

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March 3, 2020 Development / DevOps / Infrastructure

Creating a webhook to extend our pull requests

Today we are going to create a webhook and integrate it with Azure DevOps to capture pull request events. When

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February 27, 2020 DevOps / Infrastructure / Testing

Creating a dynamic Pull Request environment with Azure Pipelines

Today we are going to create a dynamic, zero-touch, PR (Pull Request) environment, a place for us to validate and

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February 11, 2020 DevOps

Using parallel jobs in Azure Pipelines

Today we are going to investigate parallel jobs in Azure DevOps, and learn how we can use them to speed

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February 5, 2020 DevOps

Approvals in environments with multi-stage YAML pipelines

This week we are going to demonstrate how to setup manual approvals to our multi-stage YAML pipelines. This is achieved

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December 20, 2019 DevOps

GitHub: Using DependaBot

DependaBot is a useful tool to regularly check for dependency updates. By helping to keep your project up to date,

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December 13, 2019 DevOps

GitHub Actions

GitHub Actions are GitHub’s solution to CI/CD. The pipelines are written in YAML, and are very similar to Azure DevOps

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